Senior Data Engineer - Databricks, Snowflake, SQL, ETL, Spark, Data Warehouse
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and performance tune complex ETL pipelines and automation using technologies including Databricks, Snowflake, Spark, Airflow, and SQL.
Manage cloud infrastructure and resolve issues to ensure operational continuity, scheduling data pipelines using Airflow with proper job dependencies.
Deploy code to higher environments (stage/prod) using GitOps tools like GitHub Actions and Jenkins and provide production support for data warehouse solutions.
Minimum Requirements
Bachelor's or master's degree in Computer Science, IT, or related field (B.E./B.Tech./MCA/Graduation).
Minimum 3 years of experience designing and developing ETL solutions in Data Warehouse/BI environments.
Strong technical skills in Snowflake, Databricks, SQL, Hive, Spark, Airflow, and experience working in cloud environments (preferably Azure).
Familiarity with CI/CD pipelines (Jenkins, GitHub Actions) and Agile/Scrum development methodologies.
Ideal Candidate Profile
Experienced in building scalable, automated ETL data pipelines in cloud and big data environments with strong technical ownership.
Comfortable collaborating across technical and non-technical teams, and managing production support tasks.
Preferably has exposure to healthcare domain data or similar regulated environments for domain understanding.